Advanced Search
Article Contents
Article Contents

Overbooking with transference option for flights

Abstract Related Papers Cited by
  • In today's competitive market of the civil aviation industry, overbooking has been a common strategy for airlines to deal with uncertainty. However, while raising the overbooking level could recover partial losses caused by cancelation and no-show, this policy would bring more uncertainty into the system. As a solution, a new method of "transference" has recently been implemented by some major airlines in China. This method allows some of the overflowed passengers resulting from overbooking to board on a later flight with certain compensation. When it is properly implemented, airline companies could enjoy reduced uncertainty and improved revenue. In this paper, we build a model to depict this method, design a procedure to determine the optimal transferring quantity among flights of different departure times, analyze the overbooking level of each flight, and show improved revenue under the method of "transference". We also present a numerical example to highlight that our results may coincide with reality.
    Mathematics Subject Classification: Primary: 93E20, 90B06; Secondary: 49L20.


    \begin{equation} \\ \end{equation}
  • [1]

    J. Alstrup, S. Boas, O. B. G. Madsen and R. V. V. Vidal, Booking Policy for Flights with two types of passengers, European Journal of Operational Research, 27 (1986), 274-288.doi: 10.1016/0377-2217(86)90325-5.


    D. Arthur, S. Malone and O. Nir, Optimal overbooking, The UMAP Journal, 23 (2002), 283-300.


    Y. Bassok, R. Anupindi and R. Akella, Single-period multiproduct inventory models with substitution, Operations Research, 47 (1999), 632-642.doi: 10.1287/opre.47.4.632.


    Z. P. Bayindir, N. Erkip and R. Güllü, Assessing the benefits of remanufacturing option under one-way substitution and capacity constraint, Comput Oper Res, 34 (2007), 487-514.doi: 10.1016/j.cor.2005.03.010.


    P. P. Belobaba, Airline Yield Management: An Overview of Seat Inventory Control, Transportation Science, 21 (1987), 63-73.doi: 10.1287/trsc.21.2.63.


    P. P. Belobaba, Application of a Probabilistic Decision Model to Airline Seat Inventory Control, Operations Research, 37 (1989), 183-197.


    P. Brémaud, "Point Processes and Queues, Martingale Dynamics," Springer-Verlag, New York, 1981.


    T. Chatwin, Optimal control of continuous-time terminal-value birth-and-death processes and airline overbooking, Naval Research Logistics, 43 (1996), 159-168.doi: 10.1002/(SICI)1520-6750(199603)43:2<159::AID-NAV1>3.0.CO;2-9.


    R. E. Chatwin, Multi-period airline overbooking with a single fare class, Operations Research, 46 (1998), 805-819.doi: 10.1287/opre.46.6.805.


    R. E. Chatwin, Continuous-time airline overbooking with time dependent fares and refunds, Transportation Science, 33 (1999), 182-191.doi: 10.1287/trsc.33.2.182.


    Y. Feng and G. Gallego, Optimal stopping times for end of season sales and optimal starting times for promotional fares, Management Science, 41 (1995), 1371-1391.doi: 10.1287/mnsc.41.8.1371.


    Y. Feng and B. Xiao, Maximizing revenue of perishable assets with risk analysis, Operations Research, 47 (1999), 337-341.doi: 10.1287/opre.47.2.337.


    Y. Feng and B. Xiao, Optimal policies of yield management with multiple predetermined prices, Operations Research, 48 (2000), 332-343.doi: 10.1287/opre.48.2.332.13373.


    Y. Gerchak, A. Tripathy and K. Wang, Co-procuction models with random functionality yields, IIE Trans, 28 (1996), 391-403.doi: 10.1080/07408179608966286.


    A. Hsu and Y. Bassok, Random yield and random demand in a production system with downward substitution, Operations Research, 47 (1999), 277-290.doi: 10.1287/opre.47.2.277.


    I. Karaesmen and G. van Ryzin, Overbooking with substitutable inventory classes, Operations Research, 52 (2004), 83-104.doi: 10.1287/opre.1030.0079.


    Z. L. Kevin, S. E. Spagniole and M. W. Stefan, Probabilistically optimized airline overbooking strategies, or "Anyone Willing to Take a Later Flight?!", The UMAP Journal, 23 (2002), 317-338.


    L. Kosten, Een mathematisch model voor een reservingsprobleem, Statist Neerlandica, 14 (1960), 85-94.doi: 10.1111/j.1467-9574.1960.tb00893.x.


    Y. Liang, Solution to the continuous time dynamic yield management model, Transportation Science, 33 (1999), 117-123.doi: 10.1287/trsc.33.1.117.


    V. Liberman and U. Yechiali, On the hotel overbooking problem - an inventory system with stochastic cancellations, Management Science, 24 (1978), 1117-1126.doi: 10.1287/mnsc.24.11.1117.


    K. Littlewood, Forecasting and control of passengers, in "12th AGIFORS symposium Proceedings," (1972), 103-105.


    M. Ignaccolo and G. Inturri, A Fuzz approach to overbooking in air transportation, Journal of Air Transportation Worldwide, 5 (2000), 19-38.


    M. P. Schubmehl, W. M. Turner and D. M. Boylan, Models for evaluating airline overbooking, The UMAP Journal, 23 (2002), 301-316.


    M. Rothstein, An airline Overbooking Model, Transportation Science, 5 (1971), 180-192.doi: 10.1287/trsc.5.2.180.


    B. Smith, J. Leimkuhler, R. Darrow and J. Samules, Yield management at american airlines, Interface, 1 (1992), 8-31.


    J. Subramanian, S. Stidham and C. Lautenbacher, Airline yield management with overbooking, cancellation and no-shows, Transportation Science, 33 (1999), 136-146.doi: 10.1287/trsc.33.2.147.


    Y. Suzuki, An empirical analysis of the optimal overbooking policies for US major airlines, Transportation Research Part E: Logistics and Transportation Review, 38 (2002), 135-149.doi: 10.1016/S1366-5545(01)00016-3.


    Y. Suzuki, The net benefit of airline overbooking, Transportation Research Part E: Logistics and Transportation Review, 42 (2006), 1-19.doi: 10.1016/j.tre.2004.09.001.

  • 加载中

Article Metrics

HTML views() PDF downloads(165) Cited by(0)

Access History

Other Articles By Authors



    DownLoad:  Full-Size Img  PowerPoint